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Educational analyticsNot betting advice · research use only.
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Bout 12 of 12

Tainara Lisboa vs Lucia Szabová

Sat, Oct 31, 5:00 PM ET · W Flyweight · 3 rounds · UFC Fight Night: Moicano vs. Nolan · Meta APEX

Fight history: Tainara Lisboa

Simulation story

6 chapters · read from the published artifact
› Loading the matchup model› Reading the outcome distribution› Preparing the score scenariosPress Play to step through what the model expects, chapter by chapter, or read the report below.

Tainara Lisboa vs Lucia Szabová

W Flyweight, 3 rounds on UFC Fight Night: Moicano vs. Nolan. The model read both fighters' histories.

model ufc-fight-model@e657fc40b64dno run count recordedproduced Oct 29, 1:10 PM ET

How much history is behind this. Lucia Szabová has no tracked UFC bouts in our corpus, so this read leans on Tainara Lisboa's 4 tracked bouts and on league-average priors for Lucia Szabová. Treat it as weaker than a bout where both fighters have at least 2 tracked bouts.

Winner

Who the model expects to win

Probabilities over the two fighters, from the head that was evaluated on its own preregistered bar.

Tainara LisboaTainara Lisboa7-4-0
vs
LSLucia Szabová12-0-0
Model pickTainara Lisboa · 54.3%Decision 47.0% · Ends in round 3 or later 56.4%
7-4-0Record12-0-0
4Tracked bouts0
54.3%Win chance45.7%
Method

How it ends

Read among fights that end with a winner — a draw or no-contest sits outside this sample, so the three add to 100%.

KO / TKO20.6%
Submission32.4%
Decision47.0%
Round

How far it goes

R3+ carries every fight that reaches the judges as well as every round-3-or-later finish.

28
R1
15
R2
56
R3+
Ends in round 1
28.5%
Ends in round 2
15.2%
Ends in round 3 or later
56.4%
Goes the distance
47.0%

“Goes the distance” is the method head’s decision probability, not a separate model — so it cannot disagree with the bar above it.

The fighters

What the corpus knows about each of them

Tracked bouts only — a fight outside the corpus is not counted, and a thin record says so.

Tainara Lisboa
7-4-0
Tracked record

2-2 in the last 4 tracked bouts. 1 of 2 wins came by finish (50%); 1 of 4 tracked fights reached the judges (25%).

Not established
? Only 4 tracked bouts — too few to call a strength or weakness (needs 5)
? Only 2 tracked losses — too few to say how fights are lost; absence of data, not absence of weakness
Last 4 tracked
LMelissa CrodenKO / TKO R3
LLuana SantosSubmission R2
WRavena OliveiraDecision R3
WJessica-Rose ClarkSubmission R3
Lucia Szabová
12-0-0
Method

Where these numbers come from

Three separate heads — winner, method and round — each fitted on a corpus of tracked UFC fights and each tested on past fights it never trained on before it was published. This is an experimental model: winner forecasts are graded on every new card, method and round are not yet graded, and it has not been shown to have an edge over the market.

Winner 60.6% accurate over 3,557 held-out fights · baseline 50.0% · log loss 0.6615 against 0.6931
Method 52.7% accurate over 3,557 held-out fights · baseline 46.7% · log loss 0.9692 against 1.0255
Round 60.6% accurate over 3,557 held-out fights · baseline 55.3% · log loss 0.9148 against 0.9549

Generated

Technical detailsModel fingerprint and the fight corpus it was fitted on.
model ufc-fight-model@e657fc40b64d
corpus 8,642 fights · 1994-03-11 to 2026-08-08 · scrape_ufc_stats (GPL-3.0)

Educational and paper-only — not betting advice.

More

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